Toward autonomous materials research: Recent progress and future challenges
The modus operandi in materials research and development is combining existing data with
an understanding of the underlying physics to create and test new hypotheses via …
an understanding of the underlying physics to create and test new hypotheses via …
New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research
In this perspective, we highlight results of a research consortium devoted to advancing
understanding of oxygen reduction reaction (ORR) catalysis as a means to inform fuel cell …
understanding of oxygen reduction reaction (ORR) catalysis as a means to inform fuel cell …
[HTML][HTML] Materials cartography: A forward-looking perspective on materials representation and devising better maps
Machine learning (ML) is gaining popularity as a tool for materials scientists to accelerate
computation, automate data analysis, and predict materials properties. The representation of …
computation, automate data analysis, and predict materials properties. The representation of …
[PDF][PDF] Mitigating Downstream Disruptions: A Future-Oriented Approach to Data Pipeline Dependency Management with the GCS File Dependency Monitor
P Atri - J Artif Intell Mach Learn & Data Sci, 2023 - researchgate.net
This paper introduces the GCS File Dependency Monitor, a Python library designed to
facilitate workflow management within data pipelines on Google Cloud Storage (GCS). The …
facilitate workflow management within data pipelines on Google Cloud Storage (GCS). The …